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Praxiseinstieg Machine Learning mit Scikit-Learn, Keras und TensorFlow, 2nd Edition
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Praxiseinstieg Machine Learning mit Scikit-Learn, Keras und TensorFlow, 2nd Edition

by Aurélien Géron
July 2020
Intermediate to advanced
852 pages
25h 44m
German
dpunkt
Content preview from Praxiseinstieg Machine Learning mit Scikit-Learn, Keras und TensorFlow, 2nd Edition

Schnellere Optimierer

Das Trainieren eines sehr großen Deep-Learning-Netzes kann nervtötend langsam sein. Wir haben bisher vier Möglichkeiten betrachtet, um das Trainieren zu beschleunigen (und die Lösung zu verbessern): eine geeignete Initialisierungsstrategie für die Gewichte der Verbindungen zu nutzen, die Aktivierungsfunktion sinnvoll zu wählen, Batchnormalisierung zu verwenden und Teile eines vortrainierten Netzes einzusetzen (eventuell gebaut für eine künstliche Aufgabe oder per unüberwachtes Lernen). Eine weitere deutliche Beschleunigung lässt sich durch Verwenden eines schnelleren Optimierers anstelle des gewöhnlichen Gradientenverfahrens erzielen. In diesem Abschnitt stellen wir die verbreitetsten Verfahren vor: Momentum Optimization, ...

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Publisher Resources

ISBN: 9781098124588